{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from pulearn import (\n",
    "    MultilayerPerceptron,\n",
    "    UnlabelledExponentialLossMultilayerPerceptron)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "\n",
    "mlp = MultilayerPerceptron(n_input=2, n_classes=2)\n",
    "uelmlp = UnlabelledExponentialLossMultilayerPerceptron(n_input=2, n_classes=2)\n",
    "\n",
    "x = np.arange(-5, 5.01, 0.5)\n",
    "x = np.vstack([-x, x]).T\n",
    "\n",
    "y_pos = np.vstack([np.zeros(21), np.ones(21)]).T\n",
    "y_neg = np.vstack([np.ones(21), np.zeros(21)]).T\n",
    "\n",
    "x_var = tf.Variable(x, dtype=tf.float64)\n",
    "y_pos_var = tf.Variable(y_pos, dtype=tf.float64)\n",
    "y_neg_var = tf.Variable(y_neg, dtype=tf.float64)\n",
    "\n",
    "\n",
    "class_weight_var = tf.Variable(np.array([1., 1.]), dtype=tf.float64)\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    loss = sess.run(mlp._loss(x_var, y_pos_var, class_weight_var))           # y=+1\n",
    "    diff = np.ones_like(y_pos)           # dldf\n",
    "    df1 = pd.DataFrame({'f(x)': x[:, 1], 'Loss': loss, 'dldf': diff[: ,1], 'Loss(class)':'Logistic(+)'})\n",
    "\n",
    "    loss = sess.run(mlp._loss(x_var, y_neg_var, class_weight_var))           # y=-1\n",
    "    diff = np.ones_like(y_neg)           # dldf\n",
    "    df2 = pd.DataFrame({'f(x)': x[:, 1], 'Loss': loss, 'dldf': diff[:, 1], 'Loss(class)':'Logistic(-)'})\n",
    "\n",
    "    \n",
    "class_weight_var = tf.Variable(np.array([.5, 1.]), dtype=tf.float64)\n",
    "    \n",
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    loss = sess.run(mlp._loss(x_var, y_neg_var, class_weight_var))           # y=-1\n",
    "    diff = np.ones_like(y_neg)           # dldf\n",
    "    df3 = pd.DataFrame({'f(x)': x[:, 1], 'Loss': loss, 'dldf': diff[:, 1], 'Loss(class)':'WeightedLogistic(-)'})\n",
    "\n",
    "\n",
    "class_weight_var = tf.Variable(np.array([1., 1.]), dtype=tf.float64)\n",
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    loss = sess.run(uelmlp._loss(x_var, y_neg_var, class_weight_var))           # y=-1\n",
    "    diff = np.ones_like(y_neg)           # dldf\n",
    "    df4 = pd.DataFrame({'f(x)': x[:, 1], 'Loss': loss, 'dldf': diff[:, 1], 'Loss(class)':'Exponential(-)'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fefc711c518>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JgwcPlujjf//7nzCzZ+3atRg5ciQMDQu/Y3Tt2hXbt29Hq1athCVO1VFUgNjW1harV6+G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bVQKfkGj8hbSZKET498gy9P/NhkHz+VDovGzuM27F7EbjJh/5x5sFZXN9tP4ecHZUAAzCUlLu2B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\nERlgFPiIiIiIiIiIiAww/x8zWMGXOCdbrAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fefa3df8940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(12, 8))\n",
    "\n",
    "sns.set(font_scale=3)\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_style(\"ticks\", {\"xtick.major.size\": 8, \"ytick.major.size\": 8})\n",
    "frames = [df1, df2, df3, df4]\n",
    "sns.pointplot(x='f(x)', y='Loss', hue='Loss(class)', data=pd.concat(frames),\n",
    "            ax=ax, markers=['*', 'o', 's', '^'], linestyles=[':', '-.', '--', '-'])\n",
    "\n",
    "ticks=ax.get_xticks()\n",
    "ax.set_xticks(ticks[::10])\n",
    "ax.set_xticklabels([-5,0,5])\n",
    "ax.set_ylabel('Loss')\n",
    "ax.set_xlabel('$f(x)$')\n",
    "ax.legend(loc='upper left', bbox_to_anchor=(1., 1.))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
